MedicalResearch.com Interview with:
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Andrea J. Gonzalez-Mantilla, M.D.[/caption]
Andrea J. Gonzalez-Mantilla, M.D.
Postdoctoral Fellow
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Andres Moreno-De-Luca, M.D.[/caption]
Andres Moreno-De-Luca, M.D.
Investigator I
Autism & Developmental Medicine Institute
Department of Radiology
Geisinger Health System
Danville, PA 17822
Medical Research: What is the background for this study? What are the main findings?
Response: Developmental brain disorders (DBD), such as autism, intellectual disability, and schizophrenia are a group of heterogeneous conditions characterized by deficits that affect multiple functional domains, such as cognition, behavior, communication, and motor skills. Previous studies provide strong evidence of common underlying molecular pathways and shared genetic causes among apparently different DBDs.
Large-scale genomic studies of individuals with developmental brain disorders have found that identifying multiple, independent
de novo pathogenic loss-of-function (pLOF) variants in the same gene among unrelated individuals is a powerful statistical approach to reliably identify disease-causing genes. However, genomic data from smaller cohorts and case reports are not routinely pooled with data from larger studies. Moreover, most previous studies have been restricted to cohorts of individuals ascertained based on a single diagnosis (e.g., a study will focus on only individuals with a diagnosis of autism and not consider other genomic data from individuals with a different diagnosis). Therefore, genomic data from individuals across DBD are not being jointly analyzed in search of pLOF variants in the same gene that may help build evidence for a causative role in developmental brain disorders.
In this study, we carried out data mining of previously published data to identify genes related to the DBD phenotype. We expanded the aforementioned method and developed a multilevel data-integration approach, which capitalizes on three genotype-phenotype data sources:
(1) genomic data from structural and sequence pLOF variants,
(2) phenotype data from six apparently distinct DBD (autism, intellectual disability, epilepsy, schizophrenia, bipolar disorder and attention-deficit/hyperactivity disorder), and
(3) data from large scale studies, smaller cohorts, and case reports.
We identified 241 candidate genes for developmental brain disorders, including 17 genes that had not previously been associated with developmental brain disorders.